LATEST REPORT: Sept 2026 National Day AI Destination Recommendation Insights Report
Empirical Research Based on 240 Independent Queries Across 5 Major Chinese AI Platforms.
Destination Ranking Result:
1) Singapore
2) Thailand
3) Japan
4) Malaysia
5) Australia
6) Maldives
7) Vietnam
8) Portugal
9) UAE
10) South Korea
The comprehensive research report is now available for purchase. If you wish to purchase a copy please contact Alfred Li at alfredli@cconsulting.com.cn
The travel decision journey is undergoing a fundamental shift—AI is becoming the primary travel planning portal for outbound tourists.
Gone are the days when travelers relied solely on guide websites, search engines, or social media for itinerary inspiration. Today’s core travelers (aged 25–45) are turning straight to AI platforms with personalized, scenario-based questions:
✅ “Where is the best overseas destination for National Day holiday?”
✅ “Which European country is ideal for a trip with elderly parents?”
✅ “Best overseas spots for honeymoon & intimate travel”
This is no longer a future trend—it is a present, explosive market change. Since 2025, AI-powered travel planning has seen skyrocketing adoption among Chinese outbound travelers, evolving into the third-largest travel information channel after WeChat and Xiaohongshu.
For tourism destinations and travel marketers, a critical question emerges: Are you visible on the new AI recommendation track?
Traditional SEO and social media marketing are no longer enough to capture user attention. In the generative AI era, being recommended first by AI equals winning the first touchpoint of consumer decisions.
As China’s leading consulting firm specializing in Travel Destination GEO (Generative Engine Optimization), Create Consulting has launched China’s First Empirical AI Outbound Travel Destination Ranking & Research Report.
Based on 240 independent inquiries across 5 leading Chinese AI platforms (ERNIE, Doubao, Tongyi Qwen, DeepSeek, Tencent Yuanbao), our 2026 July research covers 8 typical traveler personas and mainstream destinations across 5 continents, systematically uncovering the real logic of AI travel recommendation.
This report definitively answers the 3 core questions of AI travel marketing:
1️⃣ How exactly do AI platforms screen and recommend outbound travel destinations?
2️⃣ What are the key differences in recommendation logic among major AI tools?
3️⃣ What actionable strategies can destinations adopt to boost AI visibility & priority ranking?
In the AI-driven travel era, destination competition is no longer about social media traffic alone—it is about generative engine influence.
This report delivers data-backed insights and practical optimization roadmaps for tourism destination management organizations, travel agencies, and industry decision-makers to build sustainable competitive advantages on the new AI track.
AI is Reshaping Travel Decisions - Is Your Marketing Strategy Keeping Pace?
From “Traffic Buying” to “Semantic Dominance” — The GEO Era of Tourism Destination Marketing
"A very interesting phenomenon is that the conversion rate to actual bookings from traffic coming through AI platforms like ChatGPT is higher than the traffic we get from traditional search engines."
— Brian Chesky, Co-founder & CEO, Airbnb (February 2026 Earnings Call)
Latest Report:
The Search Journey Has Changed...
Traditional Search
Traveler expresses need
Searches on Google/Baidu
Browses multiple websites and compares prices
Switches platforms
Filters, hesitates, decides
Completes booking
AI Search
Traveler expresses need
Uses AI tools (ChatGPT / Doubao / Kimi)
AI understands intent
AI generates personalized recommendations
User confirms and books
AI Search Era — Three Fundamental Changes
From Searching Keywords → Describing Needs
Traditional: Serbia tourism
AI Era: 5-day niche European destination for elderly travelers
Implication: Optimize for natural language scenarios
From Comparing Platforms → AI Direct Recommendation
Traditional: Compare OTAs manually
AI: Direct recommendations
Implication: Influence AI recommendation logic
From Passive Reception → Conversational Exploration
Traditional: Passive content consumption
AI: Multi-turn conversations
Implication: Provide structured Q&A content
Traditional Search vs AI Search — Key Differences
Dimension
Core Logic
Ranking
User Behavior
Optimization
Competition
Traditional Search
Keyword matching
Keywords, bids
Browse multiple results
SEO
Big brands dominant
AI Search
Semantic understanding
Content quality, intent match
Direct answers
GEO (semantic + structured data)
Semantic precision wins
AI Adoption in China Travel Industry
AI usage for planning: 64.23%
Female vs Male: 67.5% vs 60.9%
Willingness to book via AI: 67%
AI is mainstream (64% adoption)
Female users show higher adoption
Users aged 56+ lowest adoption (48.4%)
Strong booking intent via AI
AI-booked travel services: +800% YoY
Attraction ticket bookings: +24x
Alibaba Qianwen DAU: 73.52M
Orders via Qianwen (6 days): 120M
Meituan AI verifications: 550M
55% of Gen Z/Millennials would change destinations based on AI recommendations,
80% want AI travel tools (especially price tracking).
Key Questions:
Can your content answer user questions directly?
Is your website AI-readable?
Is your content cited by AI?
For more information on how to make your brand China AI search successful please feel free to contact our Lead for AI Search, Alfred Li: alfredli@cconsulting.com.cn
Consulting
China AI Search Compliant Strategy
Multi-platform AI Visibility
GEO
Website GEO (Generative Engine Optimization)
AI-search content structuring
Product & Competitor Visibility Audit, Testing & Prompting
Semantic precision
Social Seeding & Content Matrix
Channel Partner Enablement
AI Friendly Quality Media News Release Optimization
Alfred Li (李虎) is a senior tourism industry professional with over 20 years of experience in destination marketing, trade development, airline partnership and cross-border tourism strategy. He holds a Master of Marketing from the University of Melbourne and solid tourism education background from New Zealand, including a Tourism Management Diploma and Tourism Advance Certificate, integrating systematic marketing theory with professional tourism expertise.
With over 13 years at Tourism New Zealand as Strategic Relationship Manager (Greater China) and Trade Manager, he led key projects including OTA development, counter season tourism promotion, winter ski programs and ADS visa coordination. He successfully launched and recovered major ChinaNew Zealand air routes, managed multimillion-dollar trade budgets, and built longterm strategic partnerships with leading OTAs, airlines, travel agencies and government authorities across Greater China.
He has conducted in-depth research on AI marketing strategy and GEO targeting strategies for overseas tourism destinations entering the Chinese market. By combining industry experience, academic background and digital intelligence capabilities, he delivers data-driven, highROI marketing solutions and is a trusted senior expert in cross-border tourism development and intelligent destination marketing.
Frequently Asked Questions
Question 1: What is GEO (Generative Engine Optimization) for the travel industry?
Answer: GEO is an optimization strategy tailored for AI generative search. Its core lies in improving semantic accuracy, content structuring, and intent matching, so that brand content can be preferentially crawled and recommended by AI tools such as ChatGPT, Doubao, Kimi, etc. It replaces the keyword ranking logic of traditional SEO, adapting to the new search path of "describing needs → direct AI recommendations".
Question 2: Are there fundamental differences between AI search and traditional search in marketing logic?
Answer: There are three core differences:
1. Traditional search relies on "keyword matching", while GEO relies on "semantic understanding";
2. In traditional search, users take the initiative to compare prices, whereas AI search directly delivers recommended results;
3. Traditional optimization focuses on SEO rankings, while GEO prioritizes "AI-readable structured content + precise intent matching", where semantic accuracy determines exposure priority.
Question 3: How can my travel brand be recommended first by AI tools?
Answer: Focus on three key steps:
1. Content structuring: build FAQs, data cards, and scenario-based Q&As for AI to extract answers easily;
2. Semantic precision: create content around users’ natural language demands (e.g., "5-day niche European trip for elderly travelers");
3. Authority endorsement: mark data sources and industry cases to enhance credibility for AI citation.
Question 4: What are the core behavioural characteristics of Chinese travel users using AI?
Answer:
1. High penetration rate: 64.23% of travelers use AI to plan itineraries, and 67% are willing to book via AI;
2. Demographic differences: female usage rate (67.5%) is higher than male (60.9%), while users aged 56+ have the lowest rate (48.4%);
3. Strong demand: 80% of users want AI price-tracking tools, and 55% of Gen Z/Millennials would change destinations based on AI recommendations.
Question 5: What are the key implementation steps for GEO optimization in the travel industry?
Answer:
1. Website adaptation: optimize structured data (Schema markup) to ensure AI readability;
2. Content matrix: develop scenario-based Q&As, product interpretations, and travel guides;
3. Channel layout: expand content exposure on mainstream AI platforms (Alibaba Qianwen, Doubao, etc.);
4. Effect monitoring: track AI citation data for iterative optimization.